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Reconfigurable Arrays combine the benefit of spatial execution, typical of hardware solutions, with that of programmability, present in microprocessors. When mapping software applications (or parts of them) onto hardware, however, FPGAs often provide more ...
Neuromodulation is thought to be one of the underlying principles of learning and memory in biological neural networks. Recent experiments have shown that neuroevolutionary methods benefit from neuromodulation in simple grid-world problems. In this paper w ...
In this article, we introduce the approach to the realization of ontogenetic development and fault tolerance that will be implemented in the POEtic tissue, a novel reconfigurable digital circuit dedicated to the realization of bio-inspired systems. The mode ...
A machining process based on Electro Discharge Machining (EDM) has been developed and allows producing flexible and low-cost tweezers-like grippers or grippers shaped for a specific application. It can be easily included in a micromanipulation setup and re ...
Nowaday, the world of processors is still dominated by the RISC architectures, which foundations have been laid down in the 70's. The RISC concept may be summarized by one word : simplicity. With this concept, much simpler architectures are born, in partic ...
Bio-inspired systems borrow three structural principles characteristic of living organisms: multicellular architecture, cellular division, and cellular differentiation. Implemented in silicon according to these principles, our cellular systems are endowed ...
In the design of new machines or in the development of new concepts, mankind has often observed nature, looking for useful ideas and sources of inspiration. The design of electronic circuits is no exception, and a considerable number of realizations have d ...
The main topic of this thesis is related to the state of the art in designing cryptographic primitives from a hardware point of view. A special emphasis is dedicated to low-power/low-energy CMOS design. A set of solutions is proposed including an LFSR base ...
A cellular hardware implementation of a spiking neural network with run-time reconfigurable connectivity is presented. It is implemented on a compact custom FPGA board which provides a powerful reconfigurable hardware platform for hardware and software des ...
In order to take advantage of the massive parallelism offered by artificial neural networks, hardware implementations are essential. However, most standard neural network models are not very suitable for implementation in hardware and adaptations are neede ...
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